• Title/Summary/Keyword: the method of indicators.

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Indicator Elimination for Locally Adaptive Scheme Using Data Hiding Technique

  • Chang, Hon-Hang;Chou, Yung-Chen;Shih, Timothy K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.12
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    • pp.4624-4642
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    • 2014
  • Image compression is a popular research issue that focuses on the problems of reducing the size of multimedia files. Vector Quantization (VQ) is a well-known lossy compression method which can significantly reduce the size of a digital image while maintaining acceptable visual quality. A locally adaptive scheme (LAS) was proposed to improve the compression rate of VQ in 1997. However, a LAS needs extra indicators to indicate the sources, consequently the compression rate of LAS will be affected. In this paper, we propose a novel method to eliminate the LAS indicators and so improve the compression rate. The proposed method uses the concept of data hiding to conceal the indicators, thus further improving the compression rate of LAS. From experimental results, it is clearly demonstrated that the proposed method can actually eliminate the extra indicators while successfully improving the compression rate of the LAS.

A Study on Developing Evaluation Indicators of University Libraries (디지털 환경에서 대학도서관 평가지표 개발에 관한 연구)

  • 곽병희;이두영
    • Journal of the Korean Society for information Management
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    • v.19 no.4
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    • pp.258-296
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    • 2002
  • This study is to consider varying factors of jnternal/external informational and operational environments in libraries, and develop a new evaluation indicators for university libraries in digital environments. The main research results are as follows. First, the results through the Delphi method that was to adopted to verify evaluation items and indicators determined by the literature review show that the repressed values for each evaluation category is greater than 3.00, overall average is 4.02, and standard deviation is ranged from 0.40 to 0.62 for each category. This means that the evaluation indicators are valid. Second, the factor analysis was performed to verify .the construct validity of evaluation indicators. As a result, the cumulative variance of evaluation indicators consisting of 11 dimensions per factor is 72.733%. In turn, this result shows that the validity of these indicators is very reliable. Third, t-test and one-way ANOVA are performed within significance probability 0.05 in order to verify differences in each librarians point of views for the degree of importance in evaluation indicators. Based on the Delphi study and our own analysis, we developed a new evaluation indicators that consists of 7 evaluation categories, 35 evaluation items, and 92 evaluation indicators.

Development and Application of Service Quality Indicators in Nursing Homes: Structure-Process Evaluation (노인요양시설의 서비스 질 평가 지표 개발 및 적용: 구조-과정 측면의 질 평가)

  • Kim, Moon-Sil;Lee, Seung-Hee
    • Journal of Korean Academy of Nursing Administration
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    • v.14 no.2
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    • pp.131-143
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    • 2008
  • Purpose: The aim of this study was to develop service quality indicators to evaluate structure and process of the nursing home service. Method: On the basis of literature review and analysis of existing quality indicators, the researcher made a preliminary service quality indicators and verified content validity twice. The final service quality indicators were applied in 30 nursing homes. Results: Preliminarily, 3 domains, 24 sub-domains, and 156 indicators were generated. Through two content validity testings, the indicators scoring over .80 CVI for each testing were adopted and modified by discussion with a panel of experts. The final indicators consisted of 3 domains, 15 sub-domains, and 128 indicators. These indicators were applied in 30 nursing homes. The result showed that they were easily applicable and suitable for a evaluation of service quality in nursing home. Conclusion: This 'service quality indicators in nursing home' was verified by the content validity. This tool will be able to be used for evaluation and improvement of nursing home service quality. However, repeated researches are needed for further validity and reliability.

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Validation of the Nursing Outcomes Classification on Cerebrovascular Patients (뇌혈관질환자에게 적용가능한 간호결과 분류체계의 타당성 검증)

  • Kim, Young-Hwa;So, Hyang-Sook;Lee, Eun-Joo;Ko, Eun
    • Korean Journal of Adult Nursing
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    • v.20 no.3
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    • pp.489-499
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    • 2008
  • Purpose: The purpose of this study was to assess the importance and contribution of 9 nursing outcomes and their indicators that could be applied to cerebrovascular patients. Methods: Data were collected from 175 neurosurgical nurses working at two university affiliated hospitals and five secondary hospitals located in Gwang-ju. The Fehring method was used to estimate outcome content validity(OCV) and outcome sensitivity validity(OSV) of nursing outcomes and their indicators. Stepwise regression was used to evaluate relationship between outcome and its indicators. Results: The core outcomes identified by the OCV were Tissue Perfusion: Cerebral, Nutritional Status, Neurological Status, and Wound Healing: Primary Intention, whereas highly supportive outcomes identified by the OSV were Oral Health, Self-Care: ADL, and Nutritional Status. All the critical indicators selected for Fehring method were not included in stepwise regression model. By stepwise regression analysis, the indicators explained outcomes from 19% to 52% in importance and from 21% to 45% in contribution. Conclusion: This study identified core and supportive outcomes and their indicators which could be useful to assess the physical status of cerebrovascular patients. Further research is needed for the revision and development of nursing outcomes and their indicators at neurological nursing area.

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Machine Learning Based Stock Price Fluctuation Prediction Models of KOSDAQ-listed Companies Using Online News, Macroeconomic Indicators, Financial Market Indicators, Technical Indicators, and Social Interest Indicators (온라인 뉴스와 거시경제 지표, 금융 지표, 기술적 지표, 관심도 지표를 이용한 코스닥 상장 기업의 기계학습 기반 주가 변동 예측)

  • Kim, Hwa Ryun;Hong, Seung Hye;Hong, Helen
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.448-459
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    • 2021
  • In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

A Study on Developing Evaluation Indicators of University Libraries in Digital Environment (디지털 환경에서 대학도서관 평가지표 개발에 관한 연구)

  • 곽병희
    • Proceedings of the Korean Society for Information Management Conference
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    • 2002.11a
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    • pp.23-65
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    • 2002
  • This study is to consider varying factors of internal/external informational and operational environments in libraries, and develop a new evaluation indicators for university libraries in digital environments. In order to do this research, the previous works have been investigated, and the Delphi study and our own analysis have been performed. The main research results are as follows. First, the results through the Delphi method that was to adopted to verify evaluation items and indicators determined by the literature review show that the repressed values for each evaluation category is greater than 3.00. overall average is 4.02. and standard deviation is ranged from 0.40 to 0.62 for each category. This means that the evaluation indicators are valid. Second, the factor analysis was performed to verify the construct validity of evaluation indicators. As a result. the cumulative variance of evaluation indicators consisting of 11 dimensions per factor is 72.733%. In turn, this result shows that the validity of these indicators is very reliable. Third, t-test and one way ANOVA are performed within significance probability 0.05 in order to verify differences in each librarians point of views for the degree of importance in evaluation indicators. The results show that these evaluation indicators are verified to be appropriate since there is no significant difference. Based on the Delphi study and our own analysis. we developed a new evaluation indicators that consists of 7 evaluation categories, 35 evaluation items, and 92 evaluation indicators.

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Analysis of Healthcare Quality Indicators using Data Mining and Development of a Decision Support System (데이터마이닝을 이용한 의료의 질 측정지표 분석 및 의사결정지원시스템 개발)

  • Kim, Hye Sook;Chae, Young-Moon;Tark, Kwan-Chul;Park, Hyun-Ju;Ho, Seung-Hee
    • Quality Improvement in Health Care
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    • v.8 no.2
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    • pp.186-207
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    • 2001
  • Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

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A study on a hospital services evaluation method by physician survey (임상전문분야별 의사 설문조사를 통한 병원서비스 평가 방법 연구)

  • Jhang, Won-Gi;Moon, Ok-Ryun
    • Journal of Preventive Medicine and Public Health
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    • v.29 no.4 s.55
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    • pp.815-829
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    • 1996
  • A physician survey was done by mailing for the purpose of performing hospital services evaluation and ranking. A slightly over one thousand samples were drawn from the list of professional societies, and 324 physicians(about 32 percent) replied. This study has focused on developing easy and simple method to evaluate hospital services, and providing patients with useful information. Hospital service structure and process were evaluated without outcome evaluation, because it is difficult to obtain reliable data regarding health services outcome indicators. Clinical specialty was targeted to evaluate, and three specialties were chosen, that is obstetrics & gynecology, cardiology, and proctology. Among 16 structural indicators, four indicators were finally chosen in each specialty by respondent specialists. And then using these indicators, structural score was calculated for study hospitals. For process evaluation, physicians were requested to nominate five most famous hospitals. The nomination score and structural score were summed up to produce final score and hospital ranking. This method is very easy to conduct rather than other hospital services evaluation methods prevailing in Korea. And it is more useful for patients to choose hospitals, according to his/her own purpose, because it gives high ranking hospitals with specific clinical specialty.

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Evaluating Coastal Wetland Using Environmental Indicators (환경지표를 이용한 연안습지의 평가)

  • 이동근;방광자
    • Journal of Korean Society of Rural Planning
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    • v.4 no.2
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    • pp.70-78
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    • 1998
  • The objective of this study was to enforce systematic evaluation on the present condition and ecosystem of coastal wetland to use frame of environmental indicators, For this, the indicators for evaluation of coastal wetland were established and were applied to the present condition. Then, the application possibility of this evaluation indicators and management method by group of coastal method are presented. These results present the following consideration in case that the ideal management method on the conservation and development of coastal wetlands was proposed. In case of Kang-hwa island which had the good natural environment, the mlnimum development with maintenance of the present state must be driven. In case of Tae-an which had the good natural environment and development potential, the development that was in harmony with the nature must to be driven. In case of Seo-chon which was previously developed region, the various development programs which had the minimum effects on the natural, living and socio $.$ economic environment must to be provided.

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A Study on Developing the Performance Evaluation Indicators of Defense R&D Test Development Projects (국방연구개발 시험개발사업 성과평가지표 개발에 관한 연구)

  • Lee, Hyung-Jun;Kim, Woo-Je;Kim, Chan-Soo
    • IE interfaces
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    • v.23 no.1
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    • pp.78-88
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    • 2010
  • In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.